Evolutionary multi-criterion optimization
Carlos M. Fonseca
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at 250 WPM14h 2m
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Evolutionary multi-criterion optimization
by Carlos M. Fonseca, Kalyanmoy Deb, Peter J. Fleming
Published
2013
Publisher
Springer Berlin / Heidelberg
Pages
842
ISBN-13
9783642371394
Description
This book constitutes the refereed proceedings of the 7th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2013 held in Sheffield, UK, in March 2013. The 57 revised full papers presented were carefully reviewed and selected from 98 submissions. The papers are grouped in topical sections on plenary talks; new horizons; indicator-based methods; aspects of algorithm design; pareto-based methods; hybrid MCDA; decomposition-based methods; classical MCDA; exploratory problem analysis; product and process applications; aerospace and automotive applications; further real-world applications; and under-explored challenges.
Subjects
Introduction to Linear Optimization
William Congreve
Mathematics for Machine Learning
Linear Algebra and Learning from Data
Recent Advances in Computational Optimization
Graphs, algorithms, and optimization
Frequently Asked Questions
How many pages are in Evolutionary multi-criterion optimization?
This edition of Evolutionary multi-criterion optimization has approximately 842 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Evolutionary multi-criterion optimization?
For most readers, Evolutionary multi-criterion optimization typically takes between 17h 33m and 11h 42m to complete. This is based on the book's length of approximately 210,500 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 14h 2m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 29 days • Estimated word count: 210,500 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Evolutionary multi-criterion optimization?
The estimated word count for Evolutionary multi-criterion optimization is approximately 210,500 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Evolutionary multi-criterion optimization?
Evolutionary multi-criterion optimization was written by Carlos M. Fonseca, Kalyanmoy Deb, Peter J. Fleming.
When was Evolutionary multi-criterion optimization published?
The publication date for this specific edition is 2013. The original work may have been published on a different date.